Cengizhan Yurdakul

Cengizhan Yurdakul has worked at Syntonym since 2020, first as a Computer Vision Intern and later as a Computer Vision Engineer. Prior to that, they were an Engineer Intern at Whirlpool Corporation from 2019. During their time at Whirlpool Corporation, they read and interpreted blueprints, technical report analyse and computer generated reports, and assisted with engineering calculations, design drawings, preliminary cost estimates and field visits to observe construction progress.

Cengizhan Yurdakul obtained a Bachelor Degree in Department of Electrical and Electronics Engineering from Yaşar University between 2015 and 2020. Since then, they have obtained numerous certifications from Coursera and Udemy, including Introduction to Machine Learning in Production, AWS S3 Basics, Deep Learning with PyTorch : Generative Adversarial Network, Machine Learning Pipelines with Azure ML Studio, Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications, C Programlama ve C++ Programlama ile Yazılım Geliştirme, Deep Learning ve Python: İleri Seviye Derin Öğrenme (5.1), Deep Learning: Advanced Computer Vision(GANs, SSD, +More!), Python ile Nesne Tabanlı Programlama A-Z, Yapay Zeka ve Derin Öğrenme A-Z: Tensorflow, Machine Learning ve Python: A'dan Z'ye Makine Öğrenmesi(4), PyTorch for Deep Learning and Computer Vision, (40+ Saat) Python | Sıfırdan İleri Seviye Programlama(2020), Deep Learning Prerequisites: Linear Regression in Python, Deep Learning Prerequisites: Logistic Regression in Python, Generative Adversarial Networks A-Z: State of the art (2019), PyTorch ile Derin Öğrenme, and Bilgisayar Görüşü ile Yüz ve Nesne Tanıma | R-CNN, SSD, GANs.